Life sciences company · Data strategy and roadmap
One Data Roadmap and the Year's Decisions on a Single Page
Data estates have fragmented. Every business sets goals and targets, and trusted data underpins the decisions that reach them. Data suppliers start from much of the same core data. Their methods and approaches differ. New entrants, consolidation, and competing strategies among the players keep changing the options.
A life sciences client had newly organized its data and analytics function to create a cohesive strategy and direction. The team held a broad mandate. Create the strategy and roadmap. Enable the teams who need data. Collect the incremental needs across the businesses. Streamline the investment. Manage and govern what the company holds.
The engagement delivered a roadmap for leadership, the year's four strategic data decisions on a single page, and the budget. Each came with the supporting detail necessary to provide clarity and direction to business leadership and execution teams.
The client's data strategy lead set the direction. We built the artifacts the strategy runs on. We analyzed the data and its fit, recommended what to source, and worked between the suppliers and the client's decision makers.
The situation
Each data purchase raises the same questions. What data, on what terms, and from which supplier? How will the company use it, with or without a third-party access agreement? What business benefit will it produce? What extended use could that benefit have inside a global data intelligence platform?
The market adds variables. Some of those platforms push toward deeper vertical integration, yet they still do not compete with solutions built only for life sciences. Data products often bundle in a required services team. Not every client gets the A team. Data skills remain in short supply.
The company worked with close to thirty data and platform partners across ten domains. Several contracts reached their renewal dates in the same year. The restructured team served seven business units across domains. Each unit had needs for today and needs projected.
What we did
We started from the client's own data pillars. For each pillar we recorded the needs of today and the needs projected. We wrote down each stakeholder's expectations, marked each line as stated or assumed, and sent it back for correction.
We built the blueprint. It shows the capabilities the business depends on, the services behind them, and the data under each. We drew it twice: today, and a projected target state twenty-four months out. We reached the target state by analyzing and synthesizing the business requests and where the delivery teams spend their effort. The team's guiding principles shaped it: what to hold strategically, where to source, where to build, and where to leave optionality in the middle. The difference between the two drawings became the start of the roadmap.
We built the roadmap and the decision set. The roadmap sequences the work by business priority. Contract renewals appear on it as milestones and qualify the timing. One page holds the year's strategic decisions for executives. A brief behind each decision gives the options, the criteria, the cost, the benefit, and the impact.
We ran the evaluations. The team set its scorecard before any supplier presented. We tested supplier data against the client's own on master data samples, with public registries and research as the referee. We analyzed coverage and fit and recommended what to source.
Throughout, we worked between the suppliers and the decision makers. We kept one partner landscape current: who supplies what, on what terms, and how it performs. We kept one budget tracker. We brought each group to the same page before a decision reached leadership.
What's running now
The roadmap now drives next year's budget. The four decisions cover the foundational needs of the data estate. The page shows when leadership will make each decision, with what gating criteria, and which stakeholders have input.
Governance grows from the delivered work. The team builds its data catalog, written procedures, and decisions log as each piece of work closes. The artifacts live in one folder of record and refresh periodically.